Rows: 16,000
Columns: 11
$ model_label <chr> "fixed1", "fixed1", "fixed1", "fixed1", "fixed1", "fixed1"…
$ assess_type <chr> "fit", "fit", "fit", "fit", "fit", "fit", "fit", "fit", "f…
$ draw_id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,…
$ p10 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ p25 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ p50 <dbl> 2, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ p75 <dbl> 5, 5, 5, 5, 4, 5, 5, 5, 4, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5…
$ p90 <dbl> 9.0, 8.1, 8.5, 8.0, 8.0, 8.0, 9.0, 8.0, 9.0, 8.0, 8.0, 9.3…
$ p99 <dbl> 30.92, 21.91, 21.55, 22.60, 21.16, 20.00, 20.00, 27.00, 19…
$ total_count <int> 2313, 1946, 2184, 2073, 2058, 1980, 2199, 2199, 1998, 2058…
$ mean_count <dbl> 4.307263, 3.815686, 4.000000, 3.831793, 3.790055, 3.659889…